Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
knowledge-base-qa
License:
albertvillanova HF staff commited on
Commit
7da9739
1 Parent(s): 66cf28c
Files changed (2) hide show
  1. data.zip +3 -0
  2. lc_quad.py +2 -2
data.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:ee830807de094312bddea27a7111c03aefa033d862835513a0c4ecd198133a08
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+ size 3867829
lc_quad.py CHANGED
@@ -22,7 +22,7 @@ organization={Springer}
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  _DESCRIPTION = """\
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  LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework.
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  """
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- _URL = "https://github.com/AskNowQA/LC-QuAD2.0/archive/master.zip"
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  class LcQuad(datasets.GeneratorBasedBuilder):
@@ -67,7 +67,7 @@ class LcQuad(datasets.GeneratorBasedBuilder):
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  # dl_manager is a datasets.download.DownloadManager that can be used to
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  # download and extract URLs
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  dl_dir = dl_manager.download_and_extract(_URL)
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- dl_dir = os.path.join(dl_dir, "LC-QuAD2.0-master", "dataset")
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  _DESCRIPTION = """\
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  LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework.
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  """
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+ _URL = "data.zip"
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  class LcQuad(datasets.GeneratorBasedBuilder):
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  # dl_manager is a datasets.download.DownloadManager that can be used to
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  # download and extract URLs
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  dl_dir = dl_manager.download_and_extract(_URL)
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+ dl_dir = os.path.join(dl_dir, "data")
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,